Algorithms for clustering data
Algorithms for clustering data
Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Retrieving video data via motion tracks of content symbols
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Adaptive query processing for time-series data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Scaling up dynamic time warping for datamining applications
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Locally adaptive dimensionality reduction for indexing large time series databases
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
A Spatio-Temporal Semantic Model for Multimedia Database Systems and Multimedia Information Systems
IEEE Transactions on Knowledge and Data Engineering
Variable Length Queries for Time Series Data
Proceedings of the 17th International Conference on Data Engineering
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Shape-Based Similarity Query for Trajectory of Mobile Objects
MDM '03 Proceedings of the 4th International Conference on Mobile Data Management
On the need for time series data mining benchmarks: a survey and empirical demonstration
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Similarity Search for Multidimensional Data Sequences
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Modeling of Moving Objects in a Video Database
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Discovering Similar Multidimensional Trajectories
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Indexing spatio-temporal trajectories with Chebyshev polynomials
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
On the marriage of Lp-norms and edit distance
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
STRG-Index: spatio-temporal region graph indexing for large video databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Efficient trajectory joins using symbolic representations
Proceedings of the 6th international conference on Mobile data management
Time relaxed spatiotemporal trajectory joins
Proceedings of the 13th annual ACM international workshop on Geographic information systems
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Hierarchical Matching of 3D Pedestrian Trajectories for Surveillance Applications
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Syntactic matching of trajectories for ambient intelligence applications
IEEE Transactions on Multimedia
Real-time monitoring of water quality using temporal trajectory of live fish
Expert Systems with Applications: An International Journal
Clustering of vehicle trajectories
IEEE Transactions on Intelligent Transportation Systems
Integrated video object tracking with applications in trajectory-based event detection
Journal of Visual Communication and Image Representation
Subtrajectory-based video indexing and retrieval
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Extracting representative motion flows for effective video retrieval
Multimedia Tools and Applications
Visual exploration of frequent patterns in multivariate time series
Information Visualization - Special issue on Visualization and Data Analysis 2011
International Journal of Computer Vision
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Searching moving object trajectories of video databases has been applied to many fields, such as video data analysis, content-based video retrieval, video scene classification. In this paper, we propose a novel representation of trajectories, called movement pattern strings, which convert the trajectories into symbolic representations. Movement pattern strings encode both the movement direction and the movement distance information of the trajectories. The distances that are computed in a symbolic space are lower bounds of the distances of original trajectory data, which guarantees that no false dismissals will be introduced using movement pattern strings to retrieve trajectories. In order to improve the retrieval efficiency, we define a modified frequency distance for frequency vectors that are obtained from movement pattern strings to reduce the dimensionality and the computation cost. The experimental results show that using movement pattern strings is almost as effective as using raw trajectories. In addition, the cost of retrieving similar trajectories can greatly be reduced when the modified frequency distance is used as a filter